torchvision 0.15.2-foss-2022a-CUDA-11.7.0

PyTorch library: Datasets, Transforms and Models specific to Computer Vision

Accessing torchvision 0.15.2-foss-2022a-CUDA-11.7.0

To load the module for torchvision 0.15.2-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load bear-apps/2022a
module load torchvision/0.15.2-foss-2022a-CUDA-11.7.0

BEAR Apps Version

2022a

Architectures

EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

More Information

For more information visit the torchvision website.

Dependencies

This version of torchvision has a direct dependency on: CUDA/11.7.0 foss/2022a Pillow-SIMD/9.2.0-GCCcore-11.3.0 Python/3.10.4-GCCcore-11.3.0 PyTorch/2.0.1-foss-2022a-CUDA-11.7.0

Required By

This version of torchvision is a direct dependent of: RootPainter/0.2.27.0-foss-2022a-CUDA-11.7.0

Other Versions

These versions of torchvision are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 2nd June 2023